Did you know that the human brain has a highly advanced capability to spot patterns based on position, size, colour, and shape, allowing mental shortcuts? Data visualization enables us to identify significant patterns and connections. If you want to understand better the graphical representation of data and how to use the best interactive media to bring your data story to life, this course is for you. You will learn about visualization concepts such as similarity, closure, common grouping, continuation, colour variation, spatial position and associated attributes. We'll also highlight the differences between data graphics and infographics.

The course then moves on to the principles of data visualization. You will learn underlying visual complexity should match the complexity of the presentation on a one-to-one basis to eradicate confusion and misinterpretation. After that, we will explore chart and table layout models and the stages of the data visualization process. In addition, you will learn how to set up Excel in a specific way. We will start with the installation of two different features, the camera tool and the developer tab.

The course proceeds by demonstrating how to use Excel to create and customize various charts. You'll discover how to use the Conditional Formatting tab in Excel to display the high, low, and negative points with a Sparkline and create a heatmap. Then you'll learn about KPI (Key Performance Indicator) charts and their components. This will include their performance and context and the methods of creating infographics for further reports. Finally, we will show you ways of combining some interactive data visualization features in Excel. Discover how to efficiently interpret and visualize data using Microsoft Excel and related technologies.